Optimization started at 2023-02-25 01:14:43.079418--------------------------------
Loading column definition...
Checking column definition...
Loading data...
Dropping columns / rows...
Checking for NA values...
Setting data types...
Dropping columns / rows...
Encoding data...
	Updated column definition:
		id: REAL_VALUED (ID)
		time: DATE (TIME)
		gl: REAL_VALUED (TARGET)
		Height: REAL_VALUED (STATIC_INPUT)
		Weight: REAL_VALUED (STATIC_INPUT)
		Gender: REAL_VALUED (STATIC_INPUT)
		Race: REAL_VALUED (STATIC_INPUT)
		EduLevel: REAL_VALUED (STATIC_INPUT)
		AnnualInc: REAL_VALUED (STATIC_INPUT)
		MaritalStatus: REAL_VALUED (STATIC_INPUT)
		DaysWkEx: REAL_VALUED (STATIC_INPUT)
		DaysWkDrinkAlc: REAL_VALUED (STATIC_INPUT)
		DaysMonBingeAlc: REAL_VALUED (STATIC_INPUT)
		T1DDiagAge: REAL_VALUED (STATIC_INPUT)
		NumHospDKA: REAL_VALUED (STATIC_INPUT)
		NumSHSinceT1DDiag: REAL_VALUED (STATIC_INPUT)
		InsDeliveryMethod: REAL_VALUED (STATIC_INPUT)
		UnitsInsTotal: REAL_VALUED (STATIC_INPUT)
		NumMeterCheckDay: REAL_VALUED (STATIC_INPUT)
		Aspirin: REAL_VALUED (STATIC_INPUT)
		Simvastatin: REAL_VALUED (STATIC_INPUT)
		Lisinopril: REAL_VALUED (STATIC_INPUT)
		Vitamin D: REAL_VALUED (STATIC_INPUT)
		Multivitamin preparation: REAL_VALUED (STATIC_INPUT)
		Omeprazole: REAL_VALUED (STATIC_INPUT)
		atorvastatin: REAL_VALUED (STATIC_INPUT)
		Synthroid: REAL_VALUED (STATIC_INPUT)
		vitamin D3: REAL_VALUED (STATIC_INPUT)
		Hypertension: REAL_VALUED (STATIC_INPUT)
		Hyperlipidemia: REAL_VALUED (STATIC_INPUT)
		Hypothyroidism: REAL_VALUED (STATIC_INPUT)
		Depression: REAL_VALUED (STATIC_INPUT)
		Coronary artery disease: REAL_VALUED (STATIC_INPUT)
		Diabetic peripheral neuropathy: REAL_VALUED (STATIC_INPUT)
		Dyslipidemia: REAL_VALUED (STATIC_INPUT)
		Chronic kidney disease: REAL_VALUED (STATIC_INPUT)
		Osteoporosis: REAL_VALUED (STATIC_INPUT)
		Proliferative diabetic retinopathy: REAL_VALUED (STATIC_INPUT)
		Hypercholesterolemia: REAL_VALUED (STATIC_INPUT)
		Erectile dysfunction: REAL_VALUED (STATIC_INPUT)
		Type I diabetes mellitus: REAL_VALUED (STATIC_INPUT)
		time_year: REAL_VALUED (KNOWN_INPUT)
		time_month: REAL_VALUED (KNOWN_INPUT)
		time_day: REAL_VALUED (KNOWN_INPUT)
		time_hour: REAL_VALUED (KNOWN_INPUT)
		time_minute: REAL_VALUED (KNOWN_INPUT)
Interpolating data...
	Dropped segments: 1416
	Extracted segments: 681
	Interpolated values: 140564
	Percent of values interpolated: 24.24%
Splitting data...
	Train: 357814 (68.58%)
	Val: 96960 (18.58%)
	Test: 125008 (23.96%)
Scaling data...
	No scaling applied
Data formatting complete.
--------------------------------
Current value: 0.05416509509086609, Current params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.06549392640590668, Current params: {'in_len': 180, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.12545506891274757, 'lr': 0.0001890384569952885, 'batch_size': 48, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.0705668032169342, Current params: {'in_len': 192, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.06632654596682801, 'lr': 0.0003487150439297507, 'batch_size': 48, 'lr_epochs': 14}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.06324176490306854, Current params: {'in_len': 192, 'max_samples_per_ts': 150, 'kernel_sizes': 5, 'dropout': 0.1987011331823405, 'lr': 0.0003053489445036275, 'batch_size': 32, 'lr_epochs': 10}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.06388451159000397, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 2, 'dropout': 0.0031288827022077693, 'lr': 0.0008470228982618355, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.0586862675845623, Current params: {'in_len': 156, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.1298315573638135, 'lr': 0.0005809788405576933, 'batch_size': 64, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05623690411448479, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.17551149178385, 'lr': 0.0009246980444372973, 'batch_size': 48, 'lr_epochs': 18}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006958080921322107, Current params: {'in_len': 132, 'max_samples_per_ts': 100, 'kernel_sizes': 5, 'dropout': 0.13067576583708485, 'lr': 0.0003452469410278082, 'batch_size': 48, 'lr_epochs': 18}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006455156020820141, Current params: {'in_len': 168, 'max_samples_per_ts': 100, 'kernel_sizes': 2, 'dropout': 0.09298048477764971, 'lr': 0.0003395681833016063, 'batch_size': 48, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.005921021103858948, Current params: {'in_len': 144, 'max_samples_per_ts': 100, 'kernel_sizes': 2, 'dropout': 0.16200677179630463, 'lr': 0.0007696936572584351, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.055239707231521606, Current params: {'in_len': 96, 'max_samples_per_ts': 150, 'kernel_sizes': 1, 'dropout': 0.04619877029489905, 'lr': 0.00012588912578533355, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006823565810918808, Current params: {'in_len': 96, 'max_samples_per_ts': 150, 'kernel_sizes': 1, 'dropout': 0.03374697791449226, 'lr': 0.00010187244110090908, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05578217655420303, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.06707020521757034, 'lr': 0.0005035418969544279, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006087752524763346, Current params: {'in_len': 108, 'max_samples_per_ts': 150, 'kernel_sizes': 4, 'dropout': 0.047629298620814754, 'lr': 0.0001397169669304762, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05744601786136627, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.10738274794330661, 'lr': 0.0005295307096262116, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006483699660748243, Current params: {'in_len': 108, 'max_samples_per_ts': 150, 'kernel_sizes': 5, 'dropout': 0.008796534225778078, 'lr': 0.00021839849127086998, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006136550102382898, Current params: {'in_len': 144, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.07704948331276554, 'lr': 0.00024659289215489083, 'batch_size': 64, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006798477377742529, Current params: {'in_len': 156, 'max_samples_per_ts': 150, 'kernel_sizes': 4, 'dropout': 0.1528472888900899, 'lr': 0.0004494735568142812, 'batch_size': 64, 'lr_epochs': 10}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05787631869316101, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 2, 'dropout': 0.03212418061398929, 'lr': 0.0006508028421053759, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.005947160068899393, Current params: {'in_len': 132, 'max_samples_per_ts': 150, 'kernel_sizes': 1, 'dropout': 0.09580438013887992, 'lr': 0.00043305201813682176, 'batch_size': 48, 'lr_epochs': 14}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006133463233709335, Current params: {'in_len': 96, 'max_samples_per_ts': 100, 'kernel_sizes': 5, 'dropout': 0.11165146527721669, 'lr': 0.000660661116823094, 'batch_size': 48, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.055341318249702454, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.06745035174131403, 'lr': 0.0004529625090963757, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006250279024243355, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.04767631491723164, 'lr': 0.0001626982502989574, 'batch_size': 64, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05635932832956314, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 2, 'dropout': 0.07946039111199327, 'lr': 0.0002631302644826376, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.010690567083656788, Current params: {'in_len': 96, 'max_samples_per_ts': 150, 'kernel_sizes': 1, 'dropout': 0.02685316730642994, 'lr': 0.00011123043012297038, 'batch_size': 64, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006338093895465136, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.053723148376330694, 'lr': 0.0004134137627731914, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006346533540636301, Current params: {'in_len': 108, 'max_samples_per_ts': 150, 'kernel_sizes': 2, 'dropout': 0.1465797426744111, 'lr': 0.00024280618551035087, 'batch_size': 64, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.0060523501597344875, Current params: {'in_len': 156, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.08562593350789514, 'lr': 0.000997843357654509, 'batch_size': 48, 'lr_epochs': 20}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.005896052345633507, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 2, 'dropout': 0.01581401236189399, 'lr': 0.0006114046232863731, 'batch_size': 64, 'lr_epochs': 10}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006413678638637066, Current params: {'in_len': 132, 'max_samples_per_ts': 150, 'kernel_sizes': 3, 'dropout': 0.058267319048697946, 'lr': 0.0001983579443570359, 'batch_size': 48, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006473560351878405, Current params: {'in_len': 168, 'max_samples_per_ts': 100, 'kernel_sizes': 4, 'dropout': 0.12178879428219089, 'lr': 0.0007369777530738439, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05504084751009941, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.07282003973885494, 'lr': 0.0005019493345233381, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05551011115312576, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.06915111056177452, 'lr': 0.00048615422800367175, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.057170938700437546, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.04248978818322788, 'lr': 0.000393732273368858, 'batch_size': 64, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006273642648011446, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.06164181505551553, 'lr': 0.00029898986893679453, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.0061929551884531975, Current params: {'in_len': 192, 'max_samples_per_ts': 200, 'kernel_sizes': 2, 'dropout': 0.10518755476392558, 'lr': 0.00017008481897699777, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.008506616577506065, Current params: {'in_len': 180, 'max_samples_per_ts': 150, 'kernel_sizes': 3, 'dropout': 0.19347310950262056, 'lr': 0.0005654800147820253, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05861169844865799, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 2, 'dropout': 0.08754007828010502, 'lr': 0.00037738472143248854, 'batch_size': 48, 'lr_epochs': 10}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.00593282887712121, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.1377343218133508, 'lr': 0.00028259666785194213, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006232867948710918, Current params: {'in_len': 120, 'max_samples_per_ts': 150, 'kernel_sizes': 1, 'dropout': 0.12075501858038441, 'lr': 0.0003388806097433903, 'batch_size': 48, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05482098460197449, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.07313262002382681, 'lr': 0.0007566744746612306, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.005925226490944624, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.07529515723990686, 'lr': 0.0008291333810773077, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.005723220761865377, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.03973311089963633, 'lr': 0.000737103131272883, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.006654169876128435, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.06878023566850365, 'lr': 0.0004708066763984712, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05499742180109024, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.02311596608555385, 'lr': 0.0008822996126802229, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.05631593242287636, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.019033746997104504, 'lr': 0.0008532316223807191, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.005807881243526936, Current params: {'in_len': 96, 'max_samples_per_ts': 150, 'kernel_sizes': 4, 'dropout': 0.006277922775816, 'lr': 0.0009896109599770134, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.005989095661789179, Current params: {'in_len': 132, 'max_samples_per_ts': 100, 'kernel_sizes': 5, 'dropout': 0.16908233329012418, 'lr': 0.0008923631765532733, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.0559508390724659, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.02255723172122218, 'lr': 0.0008003270661866341, 'batch_size': 32, 'lr_epochs': 16}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.0061824931763112545, Current params: {'in_len': 180, 'max_samples_per_ts': 150, 'kernel_sizes': 4, 'dropout': 0.052630091591817696, 'lr': 0.0009322592830457326, 'batch_size': 48, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.005923474207520485, Current params: {'in_len': 168, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.033535024136404405, 'lr': 0.0006962517865289535, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.054874490946531296, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09032593816113807, 'lr': 0.0005403110289112696, 'batch_size': 64, 'lr_epochs': 6}
Best value: 0.05416509509086609, Best params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.13470593256892907, 'lr': 0.00017641267488644044, 'batch_size': 64, 'lr_epochs': 2}
Current value: 0.053889427334070206, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05421118065714836, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.0994038533810158, 'lr': 0.0005213019762798176, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005946076475083828, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.10212351640413117, 'lr': 0.0005972620826199954, 'batch_size': 48, 'lr_epochs': 8}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05479659512639046, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.11625202420983687, 'lr': 0.0005292972049809088, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005894749891012907, Current params: {'in_len': 144, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.11399498467920344, 'lr': 0.0005245329384893768, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.00559929758310318, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.13175579547916563, 'lr': 0.0006373542273275521, 'batch_size': 64, 'lr_epochs': 10}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005727830808609724, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.08920822481111673, 'lr': 0.000560477413417914, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05410635471343994, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09700625831431484, 'lr': 0.0005256749004439108, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005946141667664051, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.09783321262970901, 'lr': 0.0006730336730190203, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05520046502351761, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.11401225756169225, 'lr': 0.0006221430745035712, 'batch_size': 64, 'lr_epochs': 16}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05502818524837494, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.08336262087248791, 'lr': 0.0005299261197026384, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.006013280246406794, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.09523414065401599, 'lr': 0.0005890943282585899, 'batch_size': 64, 'lr_epochs': 10}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005582784302532673, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.14432578801920515, 'lr': 0.0005423532000398015, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005739343352615833, Current params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.10873794747300936, 'lr': 0.00043273270264454543, 'batch_size': 64, 'lr_epochs': 16}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005599701311439276, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.12186666938102049, 'lr': 0.0005018386218857031, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.006370107643306255, Current params: {'in_len': 144, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.13003430206448235, 'lr': 0.00046147300938737413, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05412040278315544, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.1015171387726655, 'lr': 0.0006980760043037541, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005761554930359125, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.09968014838486539, 'lr': 0.0006978833414234743, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005800493992865086, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.08104324039350796, 'lr': 0.0007578641409454904, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005576851312071085, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09176365903344591, 'lr': 0.0005751731639512517, 'batch_size': 64, 'lr_epochs': 10}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05448919162154198, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.11843731364264859, 'lr': 0.0006931154080984122, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005578877404332161, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.11624768257443777, 'lr': 0.0006969496746961624, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005760485772043467, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.1374401636224037, 'lr': 0.0007851966194471964, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005806116387248039, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.1037526804778747, 'lr': 0.0007249335643030015, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005604143254458904, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.15548487849448483, 'lr': 0.0006654355551712061, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.0058463639579713345, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.10897171646219363, 'lr': 0.0006135395207462072, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05569549649953842, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.12712084124907555, 'lr': 0.0006453282538952367, 'batch_size': 64, 'lr_epochs': 10}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.0069004837423563, Current params: {'in_len': 96, 'max_samples_per_ts': 100, 'kernel_sizes': 5, 'dropout': 0.11867576425317305, 'lr': 0.0003685239048335869, 'batch_size': 64, 'lr_epochs': 16}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.0056744590401649475, Current params: {'in_len': 108, 'max_samples_per_ts': 150, 'kernel_sizes': 4, 'dropout': 0.10690466131452778, 'lr': 0.00048629022457506726, 'batch_size': 48, 'lr_epochs': 10}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.054661549627780914, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09321383859463216, 'lr': 0.0005515001218156031, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05517571419477463, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.0952013241978893, 'lr': 0.0008109215509193826, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05512657389044762, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.08448139765205562, 'lr': 0.0004199664155470871, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.054259683936834335, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12494292982039476, 'lr': 0.0005186619073736981, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005675212945789099, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.13411677107615638, 'lr': 0.0005040962944962024, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.05545472726225853, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12433236776006243, 'lr': 0.0005607603825642691, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005694493185728788, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.14235751959228224, 'lr': 0.0005154824624553615, 'batch_size': 64, 'lr_epochs': 18}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.006193668581545353, Current params: {'in_len': 156, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.1023806458152987, 'lr': 0.00047118517524368534, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.005987958051264286, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.11215991706267975, 'lr': 0.000586730706415919, 'batch_size': 64, 'lr_epochs': 10}
Best value: 0.053889427334070206, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.09635008944358563, 'lr': 0.0005293519354769881, 'batch_size': 64, 'lr_epochs': 8}
Current value: 0.053701773285865784, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Current value: 0.00568824028596282, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.14979955603133066, 'lr': 0.0003341689372297423, 'batch_size': 64, 'lr_epochs': 16}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Current value: 0.005716709420084953, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12628320905659823, 'lr': 0.0002483129783364775, 'batch_size': 64, 'lr_epochs': 16}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Current value: 0.005893678870052099, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.13850771219960945, 'lr': 0.00018764483320307193, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Current value: 0.005591090302914381, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.11561114506969138, 'lr': 0.00039938169197502137, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Current value: 0.006494887638837099, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.10055022272472673, 'lr': 0.0001454352534884183, 'batch_size': 64, 'lr_epochs': 18}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Current value: 0.005825281608849764, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.11977061699338121, 'lr': 0.00022103960157902175, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Current value: 0.005444474518299103, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.11045279957970995, 'lr': 0.0006279858503696434, 'batch_size': 64, 'lr_epochs': 18}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Current value: 0.005551277659833431, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.10515357499273606, 'lr': 0.0005478787925286118, 'batch_size': 64, 'lr_epochs': 14}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
Current value: 0.005910501815378666, Current params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.07834648718933822, 'lr': 0.000443429157475501, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.053701773285865784, Best params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.12642017123585755, 'lr': 0.00032840023694932384, 'batch_size': 64, 'lr_epochs': 16}
--------------------------------
Loading column definition...
Checking column definition...
Loading data...
Dropping columns / rows...
Checking for NA values...
Setting data types...
Dropping columns / rows...
Encoding data...
	Updated column definition:
		id: REAL_VALUED (ID)
		time: DATE (TIME)
		gl: REAL_VALUED (TARGET)
		Height: REAL_VALUED (STATIC_INPUT)
		Weight: REAL_VALUED (STATIC_INPUT)
		Gender: REAL_VALUED (STATIC_INPUT)
		Race: REAL_VALUED (STATIC_INPUT)
		EduLevel: REAL_VALUED (STATIC_INPUT)
		AnnualInc: REAL_VALUED (STATIC_INPUT)
		MaritalStatus: REAL_VALUED (STATIC_INPUT)
		DaysWkEx: REAL_VALUED (STATIC_INPUT)
		DaysWkDrinkAlc: REAL_VALUED (STATIC_INPUT)
		DaysMonBingeAlc: REAL_VALUED (STATIC_INPUT)
		T1DDiagAge: REAL_VALUED (STATIC_INPUT)
		NumHospDKA: REAL_VALUED (STATIC_INPUT)
		NumSHSinceT1DDiag: REAL_VALUED (STATIC_INPUT)
		InsDeliveryMethod: REAL_VALUED (STATIC_INPUT)
		UnitsInsTotal: REAL_VALUED (STATIC_INPUT)
		NumMeterCheckDay: REAL_VALUED (STATIC_INPUT)
		Aspirin: REAL_VALUED (STATIC_INPUT)
		Simvastatin: REAL_VALUED (STATIC_INPUT)
		Lisinopril: REAL_VALUED (STATIC_INPUT)
		Vitamin D: REAL_VALUED (STATIC_INPUT)
		Multivitamin preparation: REAL_VALUED (STATIC_INPUT)
		Omeprazole: REAL_VALUED (STATIC_INPUT)
		atorvastatin: REAL_VALUED (STATIC_INPUT)
		Synthroid: REAL_VALUED (STATIC_INPUT)
		vitamin D3: REAL_VALUED (STATIC_INPUT)
		Hypertension: REAL_VALUED (STATIC_INPUT)
		Hyperlipidemia: REAL_VALUED (STATIC_INPUT)
		Hypothyroidism: REAL_VALUED (STATIC_INPUT)
		Depression: REAL_VALUED (STATIC_INPUT)
		Coronary artery disease: REAL_VALUED (STATIC_INPUT)
		Diabetic peripheral neuropathy: REAL_VALUED (STATIC_INPUT)
		Dyslipidemia: REAL_VALUED (STATIC_INPUT)
		Chronic kidney disease: REAL_VALUED (STATIC_INPUT)
		Osteoporosis: REAL_VALUED (STATIC_INPUT)
		Proliferative diabetic retinopathy: REAL_VALUED (STATIC_INPUT)
		Hypercholesterolemia: REAL_VALUED (STATIC_INPUT)
		Erectile dysfunction: REAL_VALUED (STATIC_INPUT)
		Type I diabetes mellitus: REAL_VALUED (STATIC_INPUT)
		time_year: REAL_VALUED (KNOWN_INPUT)
		time_month: REAL_VALUED (KNOWN_INPUT)
		time_day: REAL_VALUED (KNOWN_INPUT)
		time_hour: REAL_VALUED (KNOWN_INPUT)
		time_minute: REAL_VALUED (KNOWN_INPUT)
Interpolating data...
	Dropped segments: 1416
	Extracted segments: 681
	Interpolated values: 140564
	Percent of values interpolated: 24.24%
Splitting data...
	Train: 431798 (69.72%)
	Val: 57067 (9.21%)
	Test: 72421 (11.69%)
	Test OOD: 58048 (9.37%)
Scaling data...
	No scaling applied
Data formatting complete.
--------------------------------
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 10 Seed: 1 ID mean of (MSE, MAE): [615.9405    15.627997]
		Model Seed: 10 Seed: 1 OOD mean of (MSE, MAE) stats: [762.9231    17.382093]
		Model Seed: 10 Seed: 1 ID median of (MSE, MAE): [172.60287   11.075195]
		Model Seed: 10 Seed: 1 OOD median of (MSE, MAE) stats: [218.59407   12.447001]
		Model Seed: 10 Seed: 1 ID likelihoods: -10.130513709653247
		Model Seed: 10 Seed: 1 OOD likelihoods: -10.237515270262557
		Model Seed: 10 Seed: 1 ID calibration errors: [0.48007335 0.31917581 0.21016642 0.13367108 0.08231218 0.0476393
 0.02642307 0.01275152 0.00541904 0.00277471 0.00358782 0.006524  ]
		Model Seed: 10 Seed: 1 OOD calibration errors: [0.48498975 0.33254429 0.21952678 0.13917295 0.08304965 0.047542
 0.02547857 0.01337049 0.00837481 0.00832026 0.01027817 0.01521232]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 10 Seed: 2 ID mean of (MSE, MAE): [617.9569    15.766912]
		Model Seed: 10 Seed: 2 OOD mean of (MSE, MAE) stats: [664.4169    16.437689]
		Model Seed: 10 Seed: 2 ID median of (MSE, MAE): [182.68176   11.379044]
		Model Seed: 10 Seed: 2 OOD median of (MSE, MAE) stats: [201.79259   12.002896]
		Model Seed: 10 Seed: 2 ID likelihoods: -10.132148835902031
		Model Seed: 10 Seed: 2 OOD likelihoods: -10.16839461188075
		Model Seed: 10 Seed: 2 ID calibration errors: [0.47629861 0.324636   0.2155708  0.13915058 0.08527758 0.04978411
 0.02725132 0.0135289  0.00619171 0.00463365 0.00761206 0.0138047 ]
		Model Seed: 10 Seed: 2 OOD calibration errors: [0.4802978  0.33366241 0.22405681 0.14767661 0.09487001 0.0583368
 0.03561619 0.0227893  0.01648509 0.01683908 0.02334853 0.03380982]
	Model Seed: 10 ID mean of (MSE, MAE): [616.9487    15.697454]
	Model Seed: 10 OOD mean of (MSE, MAE): [713.67      16.909891]
	Model Seed: 10 ID median of (MSE, MAE): [177.64232   11.227119]
	Model Seed: 10 OOD median of (MSE, MAE): [210.19333   12.224949]
	Model Seed: 10 ID likelihoods: -10.13133127277764
	Model Seed: 10 OOD likelihoods: -10.202954941071653
	Model Seed: 10 ID calibration errors: [0.47818598 0.32190591 0.21286861 0.13641083 0.08379488 0.04871171
 0.0268372  0.01314021 0.00580537 0.00370418 0.00559994 0.01016435]
	Model Seed: 10 OOD calibration errors: [0.48264378 0.33310335 0.2217918  0.14342478 0.08895983 0.0529394
 0.03054738 0.01807989 0.01242995 0.01257967 0.01681335 0.02451107]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 11 Seed: 1 ID mean of (MSE, MAE): [616.80585   15.611026]
		Model Seed: 11 Seed: 1 OOD mean of (MSE, MAE) stats: [761.5709    17.358501]
		Model Seed: 11 Seed: 1 ID median of (MSE, MAE): [171.17795   11.006889]
		Model Seed: 11 Seed: 1 OOD median of (MSE, MAE) stats: [217.96388  12.44711]
		Model Seed: 11 Seed: 1 ID likelihoods: -10.131217663296912
		Model Seed: 11 Seed: 1 OOD likelihoods: -10.236629624057738
		Model Seed: 11 Seed: 1 ID calibration errors: [0.49969339 0.32720298 0.21315721 0.13561139 0.08362506 0.0491223
 0.02793687 0.0138411  0.00597275 0.00295881 0.00359943 0.0065507 ]
		Model Seed: 11 Seed: 1 OOD calibration errors: [0.50190675 0.33757936 0.221102   0.13895542 0.08361863 0.04799645
 0.02495925 0.01263563 0.0070675  0.00706264 0.00942508 0.01443596]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 11 Seed: 2 ID mean of (MSE, MAE): [618.0434    15.802909]
		Model Seed: 11 Seed: 2 OOD mean of (MSE, MAE) stats: [669.61816  16.54309]
		Model Seed: 11 Seed: 2 ID median of (MSE, MAE): [185.03564   11.470711]
		Model Seed: 11 Seed: 2 OOD median of (MSE, MAE) stats: [207.06596   12.173126]
		Model Seed: 11 Seed: 2 ID likelihoods: -10.132218512640105
		Model Seed: 11 Seed: 2 OOD likelihoods: -10.172292401550994
		Model Seed: 11 Seed: 2 ID calibration errors: [0.47696535 0.32968304 0.22021456 0.1430302  0.08950921 0.05312324
 0.03103083 0.01755898 0.01016129 0.00791647 0.0105022  0.01640694]
		Model Seed: 11 Seed: 2 OOD calibration errors: [0.48235844 0.33792735 0.22814938 0.15275303 0.10070016 0.06398284
 0.04247138 0.03048144 0.02459395 0.02369471 0.02929328 0.03863354]
	Model Seed: 11 ID mean of (MSE, MAE): [617.4246    15.706967]
	Model Seed: 11 OOD mean of (MSE, MAE): [715.59454   16.950796]
	Model Seed: 11 ID median of (MSE, MAE): [178.1068  11.2388]
	Model Seed: 11 OOD median of (MSE, MAE): [212.51492   12.310118]
	Model Seed: 11 ID likelihoods: -10.131718087968508
	Model Seed: 11 OOD likelihoods: -10.204461012804366
	Model Seed: 11 ID calibration errors: [0.48832937 0.32844301 0.21668588 0.13932079 0.08656713 0.05112277
 0.02948385 0.01570004 0.00806702 0.00543764 0.00705082 0.01147882]
	Model Seed: 11 OOD calibration errors: [0.4921326  0.33775336 0.22462569 0.14585422 0.09215939 0.05598964
 0.03371531 0.02155853 0.01583072 0.01537867 0.01935918 0.02653475]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 12 Seed: 1 ID mean of (MSE, MAE): [617.9422    15.602576]
		Model Seed: 12 Seed: 1 OOD mean of (MSE, MAE) stats: [765.10376   17.336554]
		Model Seed: 12 Seed: 1 ID median of (MSE, MAE): [170.2803    11.013678]
		Model Seed: 12 Seed: 1 OOD median of (MSE, MAE) stats: [217.08867   12.383891]
		Model Seed: 12 Seed: 1 ID likelihoods: -10.132135501897059
		Model Seed: 12 Seed: 1 OOD likelihoods: -10.23894466122784
		Model Seed: 12 Seed: 1 ID calibration errors: [0.4765471  0.3204639  0.21027828 0.13460231 0.08334658 0.04926609
 0.0278588  0.01405519 0.00616893 0.00301824 0.00379634 0.00650422]
		Model Seed: 12 Seed: 1 OOD calibration errors: [0.48568895 0.33332013 0.22031306 0.13973702 0.08452752 0.04872049
 0.02623284 0.01364786 0.00805658 0.00764618 0.00890722 0.01378257]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 12 Seed: 2 ID mean of (MSE, MAE): [620.9277    15.876722]
		Model Seed: 12 Seed: 2 OOD mean of (MSE, MAE) stats: [669.85156   16.596216]
		Model Seed: 12 Seed: 2 ID median of (MSE, MAE): [181.67534   11.464971]
		Model Seed: 12 Seed: 2 OOD median of (MSE, MAE) stats: [202.67352   12.070976]
		Model Seed: 12 Seed: 2 ID likelihoods: -10.13454391996426
		Model Seed: 12 Seed: 2 OOD likelihoods: -10.172464324929633
		Model Seed: 12 Seed: 2 ID calibration errors: [0.49672056 0.34257531 0.23174378 0.15590578 0.10196758 0.06373788
 0.04029463 0.02639292 0.01762808 0.013544   0.01378423 0.01828324]
		Model Seed: 12 Seed: 2 OOD calibration errors: [0.4992795  0.3501724  0.23907184 0.16318319 0.11186569 0.07374869
 0.05165731 0.03918923 0.03245767 0.03026546 0.03291449 0.04037297]
	Model Seed: 12 ID mean of (MSE, MAE): [619.43494   15.739649]
	Model Seed: 12 OOD mean of (MSE, MAE): [717.47766   16.966385]
	Model Seed: 12 ID median of (MSE, MAE): [175.97781   11.239325]
	Model Seed: 12 OOD median of (MSE, MAE): [209.8811    12.227434]
	Model Seed: 12 ID likelihoods: -10.13333971093066
	Model Seed: 12 OOD likelihoods: -10.205704493078738
	Model Seed: 12 ID calibration errors: [0.48663383 0.33151961 0.22101103 0.14525405 0.09265708 0.05650199
 0.03407671 0.02022405 0.01189851 0.00828112 0.00879028 0.01239373]
	Model Seed: 12 OOD calibration errors: [0.49248423 0.34174626 0.22969245 0.1514601  0.09819661 0.06123459
 0.03894507 0.02641855 0.02025712 0.01895582 0.02091085 0.02707777]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 13 Seed: 1 ID mean of (MSE, MAE): [618.64703   15.671179]
		Model Seed: 13 Seed: 1 OOD mean of (MSE, MAE) stats: [764.6266    17.432858]
		Model Seed: 13 Seed: 1 ID median of (MSE, MAE): [175.28027   11.116058]
		Model Seed: 13 Seed: 1 OOD median of (MSE, MAE) stats: [223.64674   12.574986]
		Model Seed: 13 Seed: 1 ID likelihoods: -10.132706471419642
		Model Seed: 13 Seed: 1 OOD likelihoods: -10.238631451633307
		Model Seed: 13 Seed: 1 ID calibration errors: [0.48110554 0.3201565  0.20846097 0.1316449  0.0805821  0.04685349
 0.02501165 0.01230756 0.00521863 0.00266642 0.00362765 0.00691035]
		Model Seed: 13 Seed: 1 OOD calibration errors: [0.48829381 0.33597554 0.22184623 0.14031437 0.08484163 0.04901025
 0.02640961 0.01404984 0.00844007 0.00835148 0.0112106  0.01715224]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 13 Seed: 2 ID mean of (MSE, MAE): [615.6501    15.737581]
		Model Seed: 13 Seed: 2 OOD mean of (MSE, MAE) stats: [662.82825   16.479176]
		Model Seed: 13 Seed: 2 ID median of (MSE, MAE): [181.57167   11.377822]
		Model Seed: 13 Seed: 2 OOD median of (MSE, MAE) stats: [203.36003   12.045091]
		Model Seed: 13 Seed: 2 ID likelihoods: -10.130276574338502
		Model Seed: 13 Seed: 2 OOD likelihoods: -10.167195057133943
		Model Seed: 13 Seed: 2 ID calibration errors: [0.48335317 0.3327723  0.22250889 0.14558415 0.09106362 0.0537365
 0.03182285 0.01740044 0.00979935 0.00734329 0.00910592 0.01448685]
		Model Seed: 13 Seed: 2 OOD calibration errors: [0.48693279 0.34034908 0.22910985 0.15405905 0.10151024 0.06477567
 0.04262426 0.03036032 0.02427738 0.02361059 0.02838608 0.03720169]
	Model Seed: 13 ID mean of (MSE, MAE): [617.14856  15.70438]
	Model Seed: 13 OOD mean of (MSE, MAE): [713.7274    16.956017]
	Model Seed: 13 ID median of (MSE, MAE): [178.42596   11.246941]
	Model Seed: 13 OOD median of (MSE, MAE): [213.50339   12.310039]
	Model Seed: 13 ID likelihoods: -10.131491522879072
	Model Seed: 13 OOD likelihoods: -10.202913254383624
	Model Seed: 13 ID calibration errors: [0.48222936 0.3264644  0.21548493 0.13861453 0.08582286 0.050295
 0.02841725 0.014854   0.00750899 0.00500486 0.00636678 0.0106986 ]
	Model Seed: 13 OOD calibration errors: [0.4876133  0.33816231 0.22547804 0.14718671 0.09317593 0.05689296
 0.03451693 0.02220508 0.01635873 0.01598103 0.01979834 0.02717696]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 14 Seed: 1 ID mean of (MSE, MAE): [619.85706   15.600629]
		Model Seed: 14 Seed: 1 OOD mean of (MSE, MAE) stats: [763.2636   17.34114]
		Model Seed: 14 Seed: 1 ID median of (MSE, MAE): [170.00092   10.960798]
		Model Seed: 14 Seed: 1 OOD median of (MSE, MAE) stats: [219.16765   12.465678]
		Model Seed: 14 Seed: 1 ID likelihoods: -10.13368165194343
		Model Seed: 14 Seed: 1 OOD likelihoods: -10.237739145777756
		Model Seed: 14 Seed: 1 ID calibration errors: [0.47685451 0.32137869 0.21105379 0.13391282 0.08235595 0.04797892
 0.02674083 0.01369211 0.00593378 0.00283037 0.00323817 0.00593509]
		Model Seed: 14 Seed: 1 OOD calibration errors: [0.48580678 0.3356286  0.22209452 0.13972782 0.08367366 0.04802614
 0.02568359 0.01339405 0.00775193 0.00761794 0.01008088 0.01544615]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 14 Seed: 2 ID mean of (MSE, MAE): [613.7687    15.615087]
		Model Seed: 14 Seed: 2 OOD mean of (MSE, MAE) stats: [665.2595    16.337143]
		Model Seed: 14 Seed: 2 ID median of (MSE, MAE): [174.34605   11.147411]
		Model Seed: 14 Seed: 2 OOD median of (MSE, MAE) stats: [196.06767   11.797227]
		Model Seed: 14 Seed: 2 ID likelihoods: -10.128747736973715
		Model Seed: 14 Seed: 2 OOD likelihoods: -10.16902622693813
		Model Seed: 14 Seed: 2 ID calibration errors: [0.4770219  0.32839788 0.21817214 0.14118826 0.08805568 0.05229055
 0.03019622 0.01728022 0.00994337 0.00708801 0.00794228 0.01266287]
		Model Seed: 14 Seed: 2 OOD calibration errors: [0.4813785  0.33705672 0.22399203 0.14764164 0.09535047 0.06035339
 0.03920908 0.02748462 0.0220398  0.02049882 0.02359758 0.03127065]
	Model Seed: 14 ID mean of (MSE, MAE): [616.81287   15.607858]
	Model Seed: 14 OOD mean of (MSE, MAE): [714.2616    16.839142]
	Model Seed: 14 ID median of (MSE, MAE): [172.1735    11.054105]
	Model Seed: 14 OOD median of (MSE, MAE): [207.61766   12.131453]
	Model Seed: 14 ID likelihoods: -10.131214694458572
	Model Seed: 14 OOD likelihoods: -10.203382686357942
	Model Seed: 14 ID calibration errors: [0.47693821 0.32488828 0.21461296 0.13755054 0.08520582 0.05013473
 0.02846853 0.01548616 0.00793857 0.00495919 0.00559022 0.00929898]
	Model Seed: 14 OOD calibration errors: [0.48359264 0.33634266 0.22304328 0.14368473 0.08951207 0.05418977
 0.03244634 0.02043933 0.01489586 0.01405838 0.01683923 0.0233584 ]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 15 Seed: 1 ID mean of (MSE, MAE): [616.3051    15.560398]
		Model Seed: 15 Seed: 1 OOD mean of (MSE, MAE) stats: [766.34436   17.363384]
		Model Seed: 15 Seed: 1 ID median of (MSE, MAE): [169.0925    10.967833]
		Model Seed: 15 Seed: 1 OOD median of (MSE, MAE) stats: [217.2115    12.403188]
		Model Seed: 15 Seed: 1 ID likelihoods: -10.130810651586128
		Model Seed: 15 Seed: 1 OOD likelihoods: -10.239751199892332
		Model Seed: 15 Seed: 1 ID calibration errors: [0.47947703 0.32080929 0.21008498 0.13488605 0.08387984 0.04917586
 0.02774068 0.01408743 0.00612595 0.00281432 0.00318171 0.00576048]
		Model Seed: 15 Seed: 1 OOD calibration errors: [0.48895512 0.33420026 0.21998861 0.13934502 0.08386779 0.04869592
 0.0261123  0.01341243 0.00779201 0.00779728 0.01026493 0.01590857]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 15 Seed: 2 ID mean of (MSE, MAE): [616.30786   15.707799]
		Model Seed: 15 Seed: 2 OOD mean of (MSE, MAE) stats: [661.9359    16.383474]
		Model Seed: 15 Seed: 2 ID median of (MSE, MAE): [180.4694    11.322731]
		Model Seed: 15 Seed: 2 OOD median of (MSE, MAE) stats: [199.88799   11.906377]
		Model Seed: 15 Seed: 2 ID likelihoods: -10.1308104040016
		Model Seed: 15 Seed: 2 OOD likelihoods: -10.16652059963493
		Model Seed: 15 Seed: 2 ID calibration errors: [0.47761079 0.32836248 0.21712673 0.13883904 0.08542401 0.0491031
 0.02762193 0.01483615 0.00823485 0.0062481  0.00826541 0.01373008]
		Model Seed: 15 Seed: 2 OOD calibration errors: [0.48001707 0.33462076 0.22331792 0.1462288  0.09360423 0.05713602
 0.03590861 0.02465619 0.02043739 0.02017904 0.02479569 0.03393254]
	Model Seed: 15 ID mean of (MSE, MAE): [616.3065    15.634098]
	Model Seed: 15 OOD mean of (MSE, MAE): [714.14014   16.873428]
	Model Seed: 15 ID median of (MSE, MAE): [174.78094   11.145282]
	Model Seed: 15 OOD median of (MSE, MAE): [208.54974   12.154782]
	Model Seed: 15 ID likelihoods: -10.130810527793864
	Model Seed: 15 OOD likelihoods: -10.20313589976363
	Model Seed: 15 ID calibration errors: [0.47854391 0.32458589 0.21360586 0.13686254 0.08465193 0.04913948
 0.02768131 0.01446179 0.0071804  0.00453121 0.00572356 0.00974528]
	Model Seed: 15 OOD calibration errors: [0.4844861  0.33441051 0.22165326 0.14278691 0.08873601 0.05291597
 0.03101046 0.01903431 0.0141147  0.01398816 0.01753031 0.02492056]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 16 Seed: 1 ID mean of (MSE, MAE): [619.4969    15.685627]
		Model Seed: 16 Seed: 1 OOD mean of (MSE, MAE) stats: [761.1913    17.418058]
		Model Seed: 16 Seed: 1 ID median of (MSE, MAE): [175.1213    11.134193]
		Model Seed: 16 Seed: 1 OOD median of (MSE, MAE) stats: [223.9287    12.599609]
		Model Seed: 16 Seed: 1 ID likelihoods: -10.133391583199348
		Model Seed: 16 Seed: 1 OOD likelihoods: -10.236381597483188
		Model Seed: 16 Seed: 1 ID calibration errors: [0.47309988 0.31669802 0.2081998  0.13123131 0.08041292 0.04695867
 0.02630591 0.01320493 0.00572531 0.00292394 0.00382045 0.00686807]
		Model Seed: 16 Seed: 1 OOD calibration errors: [0.48103328 0.32885531 0.21628081 0.13601873 0.08109619 0.04606737
 0.02415327 0.0124688  0.00726604 0.00766177 0.01042363 0.01590682]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 16 Seed: 2 ID mean of (MSE, MAE): [615.44904   15.732128]
		Model Seed: 16 Seed: 2 OOD mean of (MSE, MAE) stats: [661.4008    16.406857]
		Model Seed: 16 Seed: 2 ID median of (MSE, MAE): [179.82855   11.331935]
		Model Seed: 16 Seed: 2 OOD median of (MSE, MAE) stats: [200.45282   11.960378]
		Model Seed: 16 Seed: 2 ID likelihoods: -10.130114355597206
		Model Seed: 16 Seed: 2 OOD likelihoods: -10.166119889848009
		Model Seed: 16 Seed: 2 ID calibration errors: [0.47702191 0.32818997 0.21956807 0.14381365 0.09010693 0.05301622
 0.03029844 0.01709514 0.01015256 0.00793896 0.01023164 0.01537976]
		Model Seed: 16 Seed: 2 OOD calibration errors: [0.48074383 0.33604584 0.22642086 0.15043369 0.09845498 0.0607791
 0.03952898 0.02716674 0.02215594 0.02202441 0.02698877 0.03606299]
	Model Seed: 16 ID mean of (MSE, MAE): [617.47296   15.708878]
	Model Seed: 16 OOD mean of (MSE, MAE): [711.296     16.912457]
	Model Seed: 16 ID median of (MSE, MAE): [177.47493   11.233065]
	Model Seed: 16 OOD median of (MSE, MAE): [212.19077   12.279993]
	Model Seed: 16 ID likelihoods: -10.131752969398278
	Model Seed: 16 OOD likelihoods: -10.201250743665598
	Model Seed: 16 ID calibration errors: [0.47506089 0.322444   0.21388393 0.13752248 0.08525993 0.04998745
 0.02830218 0.01515003 0.00793893 0.00543145 0.00702604 0.01112392]
	Model Seed: 16 OOD calibration errors: [0.48088855 0.33245058 0.22135083 0.14322621 0.08977558 0.05342323
 0.03184113 0.01981777 0.01471099 0.01484309 0.0187062  0.02598491]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 17 Seed: 1 ID mean of (MSE, MAE): [621.5524    15.696645]
		Model Seed: 17 Seed: 1 OOD mean of (MSE, MAE) stats: [758.41144  17.39778]
		Model Seed: 17 Seed: 1 ID median of (MSE, MAE): [173.9349    11.132303]
		Model Seed: 17 Seed: 1 OOD median of (MSE, MAE) stats: [221.52617   12.527065]
		Model Seed: 17 Seed: 1 ID likelihoods: -10.135048126377121
		Model Seed: 17 Seed: 1 OOD likelihoods: -10.234551911635226
		Model Seed: 17 Seed: 1 ID calibration errors: [0.47070473 0.31561278 0.20663305 0.13154159 0.08059474 0.04711717
 0.02625538 0.01304695 0.00566521 0.00291829 0.00364545 0.00666666]
		Model Seed: 17 Seed: 1 OOD calibration errors: [0.4805338  0.32905188 0.21636708 0.13560916 0.08235172 0.04766763
 0.02598238 0.01462219 0.00923807 0.00982927 0.01246627 0.01776626]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 17 Seed: 2 ID mean of (MSE, MAE): [620.5869    15.806143]
		Model Seed: 17 Seed: 2 OOD mean of (MSE, MAE) stats: [666.82367   16.485666]
		Model Seed: 17 Seed: 2 ID median of (MSE, MAE): [182.26988   11.416415]
		Model Seed: 17 Seed: 2 OOD median of (MSE, MAE) stats: [200.58742   12.014305]
		Model Seed: 17 Seed: 2 ID likelihoods: -10.134269005705804
		Model Seed: 17 Seed: 2 OOD likelihoods: -10.17020456043446
		Model Seed: 17 Seed: 2 ID calibration errors: [0.47581457 0.32646741 0.21614833 0.13928404 0.08665553 0.05133161
 0.0287184  0.0153797  0.00813031 0.00614345 0.00849121 0.01433466]
		Model Seed: 17 Seed: 2 OOD calibration errors: [0.47932144 0.33479726 0.22251345 0.14711883 0.09535845 0.06026049
 0.03814128 0.02561683 0.01991643 0.02002338 0.0254642  0.0353453 ]
	Model Seed: 17 ID mean of (MSE, MAE): [621.0697    15.751394]
	Model Seed: 17 OOD mean of (MSE, MAE): [712.61755   16.941723]
	Model Seed: 17 ID median of (MSE, MAE): [178.10239   11.274359]
	Model Seed: 17 OOD median of (MSE, MAE): [211.0568    12.270685]
	Model Seed: 17 ID likelihoods: -10.134658566041463
	Model Seed: 17 OOD likelihoods: -10.202378236034843
	Model Seed: 17 ID calibration errors: [0.47325965 0.32104009 0.21139069 0.13541282 0.08362514 0.04922439
 0.02748689 0.01421332 0.00689776 0.00453087 0.00606833 0.01050066]
	Model Seed: 17 OOD calibration errors: [0.47992762 0.33192457 0.21944027 0.14136399 0.08885508 0.05396406
 0.03206183 0.02011951 0.01457725 0.01492633 0.01896523 0.02655578]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 18 Seed: 1 ID mean of (MSE, MAE): [618.40344    15.6297455]
		Model Seed: 18 Seed: 1 OOD mean of (MSE, MAE) stats: [757.9712    17.360483]
		Model Seed: 18 Seed: 1 ID median of (MSE, MAE): [171.95157  11.07518]
		Model Seed: 18 Seed: 1 OOD median of (MSE, MAE) stats: [220.73706   12.504153]
		Model Seed: 18 Seed: 1 ID likelihoods: -10.132508670339424
		Model Seed: 18 Seed: 1 OOD likelihoods: -10.234261625256266
		Model Seed: 18 Seed: 1 ID calibration errors: [0.47551932 0.31735822 0.20765546 0.13234628 0.08168369 0.04841016
 0.02636162 0.01331032 0.00574359 0.00305232 0.00358725 0.00669289]
		Model Seed: 18 Seed: 1 OOD calibration errors: [0.48199289 0.32980896 0.21785604 0.13767605 0.08438254 0.04991387
 0.0276073  0.01591412 0.01085369 0.01114652 0.01400695 0.01971371]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 18 Seed: 2 ID mean of (MSE, MAE): [612.3613    15.625317]
		Model Seed: 18 Seed: 2 OOD mean of (MSE, MAE) stats: [662.3673    16.345041]
		Model Seed: 18 Seed: 2 ID median of (MSE, MAE): [178.19421  11.23231]
		Model Seed: 18 Seed: 2 OOD median of (MSE, MAE) stats: [197.58167   11.817398]
		Model Seed: 18 Seed: 2 ID likelihoods: -10.12759889301997
		Model Seed: 18 Seed: 2 OOD likelihoods: -10.166847460471885
		Model Seed: 18 Seed: 2 ID calibration errors: [0.47662523 0.32619375 0.2166824  0.13882169 0.08543382 0.04945586
 0.02701283 0.01379295 0.00687113 0.00467433 0.00617906 0.01065056]
		Model Seed: 18 Seed: 2 OOD calibration errors: [0.47830873 0.33338583 0.2220665  0.14518823 0.09282272 0.05695931
 0.03526082 0.02298238 0.01762816 0.01666021 0.01986318 0.02754918]
	Model Seed: 18 ID mean of (MSE, MAE): [615.3824    15.627531]
	Model Seed: 18 OOD mean of (MSE, MAE): [710.16925   16.852762]
	Model Seed: 18 ID median of (MSE, MAE): [175.07289   11.153746]
	Model Seed: 18 OOD median of (MSE, MAE): [209.15936   12.160776]
	Model Seed: 18 ID likelihoods: -10.130053781679697
	Model Seed: 18 OOD likelihoods: -10.200554542864076
	Model Seed: 18 ID calibration errors: [0.47607227 0.32177599 0.21216893 0.13558399 0.08355875 0.04893301
 0.02668722 0.01355163 0.00630736 0.00386333 0.00488315 0.00867172]
	Model Seed: 18 OOD calibration errors: [0.48015081 0.3315974  0.21996127 0.14143214 0.08860263 0.05343659
 0.03143406 0.01944825 0.01424093 0.01390336 0.01693506 0.02363145]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 19 Seed: 1 ID mean of (MSE, MAE): [617.8041  15.5996]
		Model Seed: 19 Seed: 1 OOD mean of (MSE, MAE) stats: [763.31305   17.372604]
		Model Seed: 19 Seed: 1 ID median of (MSE, MAE): [172.4509   11.04414]
		Model Seed: 19 Seed: 1 OOD median of (MSE, MAE) stats: [222.1267    12.537528]
		Model Seed: 19 Seed: 1 ID likelihoods: -10.13202516170704
		Model Seed: 19 Seed: 1 OOD likelihoods: -10.237772050787562
		Model Seed: 19 Seed: 1 ID calibration errors: [0.47433983 0.31784406 0.20894892 0.13275907 0.08254812 0.04873975
 0.02645384 0.0131807  0.00575519 0.00287886 0.00327341 0.0064189 ]
		Model Seed: 19 Seed: 1 OOD calibration errors: [0.48430757 0.33235577 0.21962237 0.13931894 0.08474438 0.05003871
 0.02748261 0.01572811 0.01035245 0.01037704 0.01214513 0.01766464]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 19 Seed: 2 ID mean of (MSE, MAE): [615.8266    15.796456]
		Model Seed: 19 Seed: 2 OOD mean of (MSE, MAE) stats: [665.24097  16.54575]
		Model Seed: 19 Seed: 2 ID median of (MSE, MAE): [184.09302  11.49574]
		Model Seed: 19 Seed: 2 OOD median of (MSE, MAE) stats: [207.38606   12.149478]
		Model Seed: 19 Seed: 2 ID likelihoods: -10.130421545023967
		Model Seed: 19 Seed: 2 OOD likelihoods: -10.169016685205527
		Model Seed: 19 Seed: 2 ID calibration errors: [0.48943997 0.33424248 0.2220904  0.14299809 0.08928367 0.05244551
 0.03089577 0.01755298 0.01072367 0.00910742 0.01186915 0.0184073 ]
		Model Seed: 19 Seed: 2 OOD calibration errors: [0.49606562 0.34508567 0.23117896 0.1536007  0.10075945 0.06421834
 0.04294676 0.03147741 0.02672367 0.02713859 0.03344901 0.04421959]
	Model Seed: 19 ID mean of (MSE, MAE): [616.8153    15.698029]
	Model Seed: 19 OOD mean of (MSE, MAE): [714.277     16.959177]
	Model Seed: 19 ID median of (MSE, MAE): [178.27196   11.269939]
	Model Seed: 19 OOD median of (MSE, MAE): [214.75638   12.343503]
	Model Seed: 19 ID likelihoods: -10.131223353365503
	Model Seed: 19 OOD likelihoods: -10.203394367996545
	Model Seed: 19 ID calibration errors: [0.4818899  0.32604327 0.21551966 0.13787858 0.0859159  0.05059263
 0.0286748  0.01536684 0.00823943 0.00599314 0.00757128 0.0124131 ]
	Model Seed: 19 OOD calibration errors: [0.49018659 0.33872072 0.22540067 0.14645982 0.09275191 0.05712852
 0.03521468 0.02360276 0.01853806 0.01875781 0.02279707 0.03094212]
ID mean of (MSE, MAE): [617.481689453125, 15.687623977661133] +- [1.5416502952575684, 0.04574234411120415] +- [0.793804   0.05908157] 
OOD mean of (MSE, MAE): [713.72314453125, 16.916179656982422] +- [1.952315092086792, 0.04432239755988121] +- [48.748815    0.46016765] 
ID median of (MSE, MAE): [176.60296630859375, 11.208269119262695] +- [1.9527196884155273, 0.06575722992420197] +- [4.413602   0.15564115] 
OOD median of (MSE, MAE): [210.94235229492188, 12.241373062133789] +- [2.163210391998291, 0.06983007490634918] +- [9.2567705  0.24764785] 
ID likelihoods: -10.131759448729325 +- 0.0012471121800448055 +- 0.0006444704126087331 
OOD likelihoods: -10.203013017802101 +- 0.0013857811577299398 +- 0.03420483599927593 
ID calibration errors: [0.47971433635163124, 0.32491104359683376, 0.21472324824140684, 0.13804111411935954, 0.0857059401712245, 0.05046431475925518, 0.028611593436873185, 0.015214809260421014, 0.007778234587930331, 0.005173698585034086, 0.0064670410256851855, 0.010648916004531606] +- [0.004702674056298225, 0.0031603639237089954, 0.002600728832516172, 0.002674343968807225, 0.0025153540260301793, 0.002144232889412107, 0.001994202162353067, 0.0018493026835021311, 0.0015679633529835319, 0.0012345347387497391, 0.0010964139928126922, 0.0011780707058912398] +- [0.00097287 0.00524102 0.00525936 0.00482043 0.00357182 0.00233814
 0.00190273 0.00186703 0.0020054  0.00229007 0.00293127 0.00416578] 
OOD calibration errors: [0.48541062015494313, 0.33562117039028055, 0.2232437549650966, 0.14468796244700502, 0.09107250540651264, 0.05521147392655211, 0.0331733193897888, 0.021072398364118533, 0.015595431576712957, 0.015337232278759836, 0.01886548278031457, 0.026069376085948493] +- [0.004613847404516022, 0.003261311777285187, 0.0029435036697929326, 0.0029429114810174506, 0.002902339464294758, 0.0025053057235602237, 0.0024024273928901483, 0.0023480401016624532, 0.0021767923627528203, 0.0019682312065868912, 0.001860547745844279, 0.0020853893518848455] +- [0.00094025 0.00268916 0.003744   0.00610041 0.00745713 0.00684359
 0.00716315 0.00714805 0.00707612 0.0067562  0.0079446  0.00977045] 
